A Dialogic Cognitive System With Externally Persisted State: A New Architecture of Human–AI Joint Thinking

The article proposes the concept of a dialogical cognitive system with an externally persistent state as a distinct architecture of joint thinking between humans and generative artificial intelligence. It examines situations in which an evolving reasoning process is preserved in an external dialogue and can be resumed after a temporal interruption without reconstructing the process from the beginning. The preserved state includes not only information, but also hypotheses, arguments, objections, connections, intermediate conclusions, and unresolved questions. Within such a system, generative AI functions not merely as a tool for obtaining or processing information, but also as a participant in the subsequent transformation of the preserved state of reasoning. The concept is related to research on extended and distributed cognition, cognitive offloading, transactive memory, and human–AI co-creativity. The article defines the principal elements of the proposed architecture and outlines directions for its further empirical investigation.

Authors

Publication Details

Journal
Knowledge Commons (Lakehead University)
Published
2026-10-09
DOI
https://doi.org/10.17613/ynnq4-vks36
Primary Topic
Embodied and Extended Cognition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Dialogic Cognitive System With Externally Persisted State: A New Architecture of Human–AI Joint Thinking

Dmitry Kozhevanov
Knowledge Commons (Lakehead University)
Embodied and Extended Cognition
article

A Dialogic Cognitive System With Externally Persisted State: A New Architecture of Human–AI Joint Thinking

Dmitry Kozhevanov
article en

Abstract

The article proposes the concept of a dialogical cognitive system with an externally persistent state as a distinct architecture of joint thinking between humans and generative artificial intelligence. It examines situations in which an evolving reasoning process is preserved in an external dialogue and can be resumed after a temporal interruption without reconstructing the process from the beginning. The preserved state includes not only information, but also hypotheses, arguments, objections, connections, intermediate conclusions, and unresolved questions. Within such a system, generative AI functions not merely as a tool for obtaining or processing information, but also as a participant in the subsequent transformation of the preserved state of reasoning. The concept is related to research on extended and distributed cognition, cognitive offloading, transactive memory, and human–AI co-creativity. The article defines the principal elements of the proposed architecture and outlines directions for its further empirical investigation.

Knowledge Commons (Lakehead University)
Openalex Percentile: Top 13%
Embodied and Extended Cognition
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.